SystemDynamics

matlab code for finite element method

时间序列分析，AR模型，用于流数据预测与滤波 输入参数：y为原始数据矩阵，p为AR模型的阶数，la为自回归模型的遗忘系数 输出参数：预测值，置信区间，离群点等(Time series analysis, AR model for prediction and filtering data stream input parameters: y original data matrix, p is the order of the AR model, la self-forgetting coefficient regression model output parameters: predictive value, confidence intervals, outlier points)

增加了声子晶体周期条件： if (mod(ii,19)<9) u(ii,3)=2*u(ii,2)-u(ii,1)+c*(u(ii+1,2)-2*u(ii,2)+u(ii-1,2)) else u(ii,3)=2*u(ii,2)-u(ii,1)+0.5*c*(u(ii+1,2)-2*u(ii,2)+u(ii-1,2)) end(if (mod(ii,19)<9) u(ii,3)=2*u(ii,2)-u(ii,1)+c*(u(ii+1,2)-2*u(ii,2)+u(ii-1,2)) else u(ii,3)=2*u(ii,2)-u(ii,1)+0.5*c*(u(ii+1,2)-2*u(ii,2)+u(ii-1,2)) end)

matlab simulaink simulation of doubly feed iduction generetor

灰度梯度共生矩阵 H 归一化灰度梯度矩阵 H_basic 小梯度优势 T1 大梯度优势 T2 灰度分布的不均匀性 T3 梯度分布的不均匀性 T4 能量 T5 灰度平均 T6 梯度平均 T7 灰度均方差 T8 梯度均方差 T9 相关 T10 灰度熵 T11 梯度熵 T12 混合熵 T13 惯性 T14 逆差矩 T15(GGCM H normalized gray gradient matrix H_basic small advantage T1 gradient big advantage T2 gradient gray uneven distribution of T3 gradient uneven distribution of energy T5 gray T4 average T6 average gradient gray T7 average gradient T8 variance variance T9 were related to T10 T11 gradient gray entropy entropy of mixing entropy T12 T13 inertia moment T15 T14 deficit)

Calculation of glcm Energy Entropy Homogeneity Features Dissimilarity Categorize

计算数据包络分析中的ccr和bcc模型决策单元的效率值松弛变量的值等(calculate the efficiency and slack of ccr and bcc model in matlab )

霍夫曼编码，在matlab7.0下验证可行。有详细注解，保证可靠(Huffman coding, under the matlab7.0 verification feasible. Detailed comments)

用实验方法测试RLC串联谐振电路的幅频特性曲线。当正弦交流信号的频率f改变时，电路的感抗、容抗随之而变.取电路电压U0作为响应，当输入电压Ui幅值维持不变时，在不同信号频率的激励下，测出U0之值，用LabVIEW程序完成频谱分析和滤波，变换等信号处理，即可测出RLC串联电路的谐振频率，(Amplitude-frequency characteristics experimentally tested RLC series resonant circuit curve. When changing the frequency f of the sinusoidal AC signal, the circuit inductance, capacitance change with Take circuit voltage U0 as a response when the amplitude of the input voltage Ui unchanged, signals at different excitation frequencies, the measured value U0, the process is complete spectrum analysis using LabVIEW and filtering, transform signal processing, can be measured RLC series circuit resonant frequency,)

FFT的说明和一些matlab 例程，希望能有所帮助(Fast Fourier Transformation under the environment of MATLAB)